Final answer:
To calculate the minimum sample size required to estimate a population proportion given the margin of error, confidence level, and an estimated population proportion from a prior study, a specific formula must be used
The correct answer is A.
Step-by-step explanation:
To find the minimum sample size required to estimate the population proportion with a given margin of error at a specified confidence level, we can use the formula:
n = (Z^2 * p*(1-p)) / E^2
Where:
- n is the sample size,
- Z is the Z-score corresponding to the confidence level,
- p is the estimated population proportion,
- E is the margin of error.
For the question given, we have:
- Margin of error (E): 0.007
- Confidence level: 99% (which corresponds to a Z-score approximately = 2.576)
- Estimated population proportion (p): 0.255
To calculate, the formula translates to:
n = (2.576^2 * 0.255 * (1 - 0.255)) / 0.007^2
Calculating the above expression gives a sample size that is closest to A.